11 months ago
Dublin, IrelandStaff+
Responsibilities
- Build the systems powering Intercom’s flagship AI products, primarily in the ML Python stack and occasionally across the Rails application.
- Work with ML Scientists to bring proof-of-concept code into robust, scalable production systems.
- Partner with product teams to shape effective AI-powered customer experiences.
- Contribute across ideation, prototyping, implementation, and testing.
- Participate in hiring, mentoring, and career development for other engineers.
- Raise technical standards for performance, reliability, and operational excellence.
Requirements
- 10+ years of experience shipping high-quality products.
- ML experience is not required, but strong software engineering skills and willingness to learn ML are expected.
- Demonstrated significant impact in prior work.
- Deep knowledge of a high-level programming language such as Ruby, Python, or JavaScript.
- Strong technical fundamentals and commitment to continued development.
- BSc in Computer Science, Mathematics, Statistics, or a related discipline.
- Previous experience in data analytics or a statistical role is a bonus.
Benefits
- Competitive salary and equity are offered, with compensation reviews.
- Weekday lunch, snacks, and a fully stocked kitchen are provided.
- Pension scheme with matching up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook or other suitable work equipment provided.
- Relocation support is available for employees moving to company offices.
- Hybrid work policy requiring at least three days per week in the office.
Tech Stack
Categories
ML EngineeringProduct Engineering
About Intercom
Intercom builds a customer service platform that combines an AI agent (Fin), live chat, and a modern help desk to support sales and support teams. It sells its software as a SaaS subscription to businesses that want to manage customer conversations across web, mobile, and email with automation and analytics. Founded in 2011 and headquartered in San Francisco, the company is privately held and serves startups through large enterprises.